| Prediction and classification of Alzheimer’s disease based on combined features from apolipoprotein-E genotype, cerebrospinal fluid, MR, and FDG-PET imaging biomarkers Y Gupta, RK Lama, GR Kwon, ... Frontiers in computational neuroscience 13, 72, 2019 | 77 | 2019 |
| Early diagnosis of Alzheimer’s disease using combined features from voxel-based morphometry and cortical, subcortical, and hippocampus regions of MRI T1 brain images Y Gupta, KH Lee, KY Choi, JJ Lee, BC Kim, GR Kwon, ... PLoS One 14 (10), e0222446, 2019 | 34 | 2019 |
| Alzheimer’s disease diagnosis based on cortical and subcortical features Y Gupta, KH Lee, KY Choi, JJ Lee, BC Kim, GR Kwon Journal of healthcare engineering 2019, 2019 | 25 | 2019 |
| Classification and graphical analysis of Alzheimer’s disease and its prodromal stage using multimodal features from structural, diffusion, and functional neuroimaging data and … Y Gupta, JI Kim, BC Kim, GR Kwon Frontiers in aging neuroscience 12, 238, 2020 | 13 | 2020 |
| An MRI brain disease classification system using PDFB-CT and GLCM with kernel-SVM for medical decision support Y Gupta, RK Lama, SW Lee, GR Kwon Multimedia Tools and Applications 79 (43), 32195-32224, 2020 | 10 | 2020 |
| Classification of Alzheimer’s disease and mild cognitive impairment based on cortical and subcortical features from MRI T1 brain images utilizing four different types of datasets S Toshkhujaev, KH Lee, KY Choi, JJ Lee, GR Kwon, Y Gupta, RK Lama Journal of Healthcare Engineering 2020, 2020 | 10 | 2020 |
| Alzheimer's Disease Neuroimaging I Y Gupta, RK Lama, GR Kwon Prediction and classification of alzheimer's disease based on combined …, 2019 | 9 | 2019 |
| National Research Center for Dementia; Alzheimer’s Disease Neuroimaging Initiative. Early diagnosis of Alzheimer’s disease using combined features from voxel-based morphometry … Y Gupta, KH Lee, KY Choi, JJ Lee, BC Kim, GR Kwon PloS one 14 (10), e0222446, 2019 | 5 | 2019 |
| A DICOM Standard Pipeline for Microscope Imaging Modalities Y Gupta, C Costa, E Pinho, LAB Silva 2021 IEEE Symposium on Computers and Communications (ISCC), 1-6, 2021 | 2 | 2021 |
| Improving the Visualization and Dicomization process for the Stacked Whole Slide Imaging Y Gupta, C Costa, E Pinho, LAB Silva 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 1-8, 2021 | 1 | 2021 |
| Dicomization of LSM fluorescence composite microscopic image with its bioimaging information Y Gupta, C Costa, E Pinho, LAB Silva, S Mandal, U Neugebauer 2021 IEEE 34th International Symposium on Computer-Based Medical Systems …, 2021 | 1 | 2021 |
| T1-MRI 뇌영상으로부터 히포캠퍼스 특징 기반알츠하이머 병 자동 분류기법 권구락 한국차세대컴퓨팅학회 논문지 15 (2), 17-28, 2019 | 1 | 2019 |
| Yubraj Gupta1, Ji-In Kim1, Byeong Chae Kim2 and Goo-Rak Kwon1* on behalf of Alzheimer’s Disease Neuroimaging Initiative WM Kung, HU Voss, G Gonzalez-Escamilla, KK Tseng, GR Kwon, ... Translational Advances in Alzheimer's, Parkinson's, and Other …, 2022 | | 2022 |
| DICOMization of Proprietary Files Obtained from Confocal, Whole-Slide, and FIB-SEM Microscope Scanners Y Gupta, C Costa, E Pinho, L Bastião Silva Sensors 22 (6), 2322, 2022 | | 2022 |
| Automatic classification of Alzheimer’s disease using different neuroimaging tools S Toshkhujaev, GR Kwon, Y Gupta, RK Lama 한국통신학회 학술대회논문집, 58-61, 2019 | | 2019 |
| Early classification of Alzheimer's disease and mild cognitive impairment using pre-trained 3D deep neural network Y Gupta, GR Kwon IBRO Reports 6, S154, 2019 | | 2019 |
| SVM 을 이용한 뇌 피질 기반 알츠하이머 병 진단 권구락 한국차세대컴퓨팅학회 논문지 15 (3), 40-49, 2019 | | 2019 |
| Automatic classification on Alzheimer’s Disease based on Hippocampus features from T1-MRI brain image Y Gupta 한국차세대컴퓨팅학회 논문지 15 (2), 17-28, 2019 | | 2019 |
| Subcortical Features based Alzheimer’s disease diagnosis using Support vector machine Y Gupta 한국차세대컴퓨팅학회 논문지 15 (3), 40-49, 2019 | | 2019 |
| T1-MRI 뇌영상으로 부터 멀티모달 특징들을 이용한 알츠하이머병 포괄적 분석 권구락， 변재영， 이범식， 권구락 조선대학교 일반대학원, 2019 | | 2019 |
Goo-Rak Kwon조선대 정보통신공학과 교수Verified email at chosun.ac.kr
Goo-Rak Kwon조선대 정보통신공학과 교수Verified email at chosun.ac.kr